- python 3.7
- virtualenv
$ mkdir workingspace
$ cd workingspace
$ virtualenv sccmec_cla
$ source ./sccmec_cla/bin/activate
$ unzip SCCmec_CLA-master.zip
$ cd SCCmec_CLA-master
$ ./helpers/programs/prokka-1.12/bin/prokka --setupdb
$ pip install -r requirements.txt
$ python sccmec_classification.py
- attL_<CONTIG_FILENAME>.fasta <- left end sccmec
- attR_<CONTIG_FILENAME>.fasta <- right end sccmec
- sccmec_<CONTIG_FILENAME>.fasta <- cassette fasta format
- sccmec_<CONTIG_FILENAME>_type.txt <- current format annotation
- core_elements_sccmec_<CONTIG_FILENAME>.txt <- detail current format annotation
- annotation_table_sccmec_<CONTIG_FILENAME>.txt <- sccmec annotation table
- sccmec_<CONTIG_FILENAME>_neighbors_cassettes.txt <- close related cassettes
- fig.png <- network viz using matplotlib
- sccmec_<CONTIG_FILENAME>_cytoscape_network.sif <- Cytoscape format files
- sccmec_<CONTIG_FILENAME>_cytoscape_network.eda <- Cytoscape format files
- SCCmec_<CONTIG_FILENAME>.png <- Graphical Representation
- [prokka](add link) - Used to make annotation
- [BLAST](add link) - Used to identify core elements
- [mash](add link) - Used to generate similarity networks
- [DnaFeaturesViewer](add link) - Used create a graphical representation
- Felipe Sepúlveda - Initial work - fesepc
This project is licensed under the MIT License - see the LICENSE.md file for details
- Ulab ugaldelab